The menu of statistics used in the analysis of bivariate tables of nominal and ordinal data is substantial, including among others C, y, D, dyx.dxy, Vp, K, ka, Xb, k, Q, T, two kinds of Ta and Tb, Tc and V, not to mention x2 and other significance tests. This bewildering array is more satisfactory to those who invent statistics than to those who use them, either as analysts or as consumers of political analysis. In choosing a measure of relationship between two attributes, it is necessary to consider more than their mathematical or statistical qualities. The level of measurement of the variables, the number of categories, the substantive meaning of the data, the analyst's purpose, whether testing significance in a sample or measuring association in a population, the proposition being investigated (whether it implies necessary or sufficient consequences or both), and the usefulness of statistics as communication devices (particularly whether they are familiar and understandable to the readership), are among the criteria for selecting measures.
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William J. Buchanan (1974) studied this question.